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Saturday, October 28 • 3:00pm - 3:22pm
Found it! Boosting e-commerce search conversions with machine learning at scale

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Over the past decade, e-commerce has leaped from lighthouse customers to mainstream consumers, offering online inventories with millions of products readily available to shoppers. To help buyers easily find products and fulfill their goals, it is necessary to provide effective search methods that retrieve highly-relevant items. However, manual and/or rule-based approaches to search optimization are not scalable. In this talk, we illustrate machine learning methods that have been successfully applied at web-scale to optimize search relevance for e-commerce. Additionally, we present techniques to extract semantic information from queries and precisely match product attributes to improve search relevance against structured products.

avatar for Giuseppe “Pino” Di Fabbrizio

Giuseppe “Pino” Di Fabbrizio

Principal Research Scientist, Group Leader, Rakuten, Inc.
Giuseppe "Pino" Di Fabbrizio is a principal research scientist and a group leader in the Rakuten machine learning and natural language processing research team in Boston. Before joining Rakuten, he was a senior research scientist with the Amazon Alexa team in Cambridge, MA. Prior... Read More →

Saturday October 28, 2017 3:00pm - 3:22pm JST
4F Rakuten A